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Session 18: AP - Using Predictive Models for Life Insurance Assumptions
Session 18: AP - Using Predictive Models for Life Insurance Assumptions Predictive modeling ... more than a simple modeling practice. One must take care to address how the model is applied and its business ...- Authors: Rosmery Cruz, Dihui Lai
- Date: Sep 2019
- Competency: Strategic Insight and Integration
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Management skills; Technology & Applications>Artificial intelligence & machine learning
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Session 33: B/I - Languages of Predictive Analytics (PA): A Tower of Babel?
numerical computing. 13 Reasons to Use Julia Direct calling of low-level C/C++ and Fortran code. ... was written in Scala and therefore has the most direct support of Spark possible. 54 Reasons to Use ...- Authors: Rosmery Cruz, Jeff T Heaton
- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Topics: Technology & Applications>Computer science; Technology & Applications>Software
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Session 12: B/I - Dangers of Overfitting; Myths and Facts of Predictive Analytics (PA)
Session 12: B/I - Dangers of Overfitting; Myths and Facts of Predictive Analytics (PA) Simple mathematical ... 1977 One of many definitions If the quantity we care about is how well our models will perform on ...- Authors: Rosmery Cruz, Bradley Joseph Lipic
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Actuarial Profession>Best practices